Raw LLM Responses

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G This is absolutely 100% not going to backfire… /end sarcasm. On a serious note, … ytc_UgzYHM_0D… G A economy does not equal the majority of people. it can function without most of… ytc_UgzItodtU… G Remember caning. In the 60's to 80's , our parents caned us when we were naughty… ytc_Ugylo4Zem… G You must know how to code to effectively use AI to assist you in building comple… ytc_UgwyWihaN… G If they eliminate 40% of jobs without sufficient jobs being created to replace t… ytc_Ugyfe-PAu… G Ai is a con - MIT just published a study showing that 90% of Enterprise project … ytc_UgycXK2vY… G Human Curiosity, in Philosophy We are beings of wonder — our nature is to ask, … ytc_UgwDloTXI… G It’s crazy they didn’t have a feature that could try and talk him down. But let’… ytc_UgxPghmRP…
Comment
@wing3789But what OP is saying here is that “please” and “thank you” are only affirming to US in terms of behavior because of our cultural conditioning, but that they would only affirm politeness-coded responses, not the utility of the results. It’s the difference not between being polite versus rude, but indirect versus direct in terms of communication style. If you want your LLM to generate succinct, directly communicated results of a factual nature, give it directions whose style matches that you want in the output, which includes whether things are stated explicitly, implicitly, or simply not said because they model has a sun-algorithm that effectively acts as a contextual filter, even though there is no CONSCIOUSNESS driving that decision. These models are very fuzzy machines, but still machines nonetheless.
youtube AI Moral Status 2025-03-28T17:2… ♥ 36
Coding Result
DimensionValue
Responsibilitynone
Reasoningmixed
Policynone
Emotionindifference
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
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